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AWS for Software Companies Podcast

Ep088: Monetizing and Productizing Generative AI for SaaS with RingCentral & Zoom

37 min • 27 mars 2025

Tech leaders from RingCentral, Zoom and AWS discuss how generative AI is transforming business communications while balancing challenges & regulatory concerns in this rapidly evolving landscape.

Topics Include:

  • Introduction of panel on generative AI's impact on businesses.
  • How to transition AI from prototypes to production.
  • Understanding value creation for customers through AI.
  • Introduction of Khurram Tajji from RingCentral.
  • Introduction of Brendan Ittleson from Zoom.
  • How generative AI fits into Zoom's product offerings.
  • Zoom's AI companion available to all paid customers.
  • Zoom's federated approach to AI model selection.
  • RingCentral's new AI Receptionist (AIR) launch.
  • How AIR routes calls using generative AI capabilities.
  • AI improving customer experience through sentiment analysis.
  • The disproportionate value of real-time AI assistance.
  • Economics of delivering real-time AI capabilities.
  • Real-time AI compliance monitoring in banking.
  • Value of preventing regulatory fines through AI.
  • Voice cloning detection through AI security.
  • Democratizing AI access across Zoom's platform.
  • Monetizing specialized AI solutions for business value.
  • Challenges in taking AI prototypes to production.
  • Importance of selecting the right AI models.
  • Privacy considerations when training AI models.
  • Maintaining quality without using customer data for training.
  • Co-innovation with customers during product development.
  • Scaling challenges for AI businesses.
  • Case study of AI in legal case assessment.
  • Ensuring unit economics work before scaling AI applications.
  • Zoom's approach to scaling AI across products.
  • Importance of centralizing but federating AI capabilities.
  • Breaking down data silos for effective AI context.
  • Navigating evolving regulations around AI.
  • EU AI Act restrictions on emotion inference.
  • Balancing regulations with customer experience needs.
  • Future of AI agents interacting with other agents.
  • How AI enhances human connection by handling routine tasks.
  • Impact of AI on company valuations and M&A activity.


Participants:


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